How to deploy a matlab function to raspberry pi 3b+

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Muhammad Raihan Ekaputra Idrisatria
Commented: Vinicio Moya on 2 Nov 2021 at 23:37
I've try to deploy a matlab function into my raspberry pi. Bellow is my matlab function and my deployment script :
function raspi_gneet_es_proj()
raspiObj=raspi();
cam=cameraboard(raspiObj,'Resolution','1920x1080');
net=coder.loadDeepLearningNetwork('MyNet_Result.mat','MyNetResult');
ukuran=net.Layers(1).InputSize;
ukuran=ukuran(1:2);
to_show="..........";
start=tic;
fprintf('Entry While Loop..... \n');
while true
img=snapshot(cam);
el_time=toc(start);
if el_time>1
IMG=imresize(img,ukuran);
[label,score]=net.classify(IMG);
max_scr=max(score);
label_str=string(label);
to_show=sprintf("Label : %s \n Score : %f \n",label_str,max_scr);
start=tic;
end
img_label=insertText(img,[0 0],to_show);
displayImage(raspiObj,img_label);
end
end
and bellow is my deployment script :
board=targetHardware("Raspberry Pi");
board.CoderConfig.TargetLang="C++";
dlcfg=coder.DeepLearningConfig("arm-compute");
dlcfg.ArmArchitecture="armv7";
dlcfg.ArmComputeVersion="19.05";
board.CoderConfig.DeepLearningConfig=dlcfg;
deploy(board,'raspi_gneet_es_proj')
and i got this error message :
Operands to the || and && operators must be convertible to logical scalar values.
Error in coder.Hardware
Error in coder.Hardware
Error in coder.matlabtarget.Hardware
Error in targetHardware (line 32)
obj = obj@coder.matlabtarget.Hardware(name);
i use a macbook pro
  1 Comment
Reeno Joseph
Reeno Joseph on 13 May 2021
Hi Muhammad,
Can you please specify the MATLAB version that you are using ?

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Answers (1)

Stefanie Schwarz
Stefanie Schwarz on 30 Sep 2021
According to this documentation page, we don't currently support deployment of deep learning networks from Mac to Raspi:
Note: You cannot generate and deploy deep learning code on Raspberry Pi hardware using macOS.
  1 Comment
Vinicio Moya
Vinicio Moya on 2 Nov 2021 at 23:37
I have the same problem. How can I uninstall the deep learning from the Raspberry?

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